About the Position

Senior Analytics Engineer

About the Company

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.

We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Responsibilities

As a Senior Analytics Engineer, you will:

Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability.
Develop and optimize sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi-terabyte data ecosystem.
Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self-service analytics.
Provide technical leadership in collaboration with data science teams to optimize analytical workflows, reduce redundancy, and enforce robust data governance.
Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring.
Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision-making.
Strategically influence and drive company-wide data strategies supporting rapid product growth, sophisticated experimentation, and large-scale personalization initiatives.

Requirements

5+ years of hands-on experience in analytics engineering, data engineering, or related fields.
Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimizing data models.
Deep understanding of advanced data governance frameworks, modeling best practices, and implementation of scalable self-service analytics platforms.
Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics.
Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring direct business impact.
Strategic mindset, high creativity, and an initiative-driven approach to developing and evaluating cutting-edge solutions.
Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders.

Nice to Have

Experience leading and scaling data infrastructure within rapidly growing startups.
Advanced hands-on expertise with DBT, Looker, or Airflow.
Proven experience in defining and standardizing event taxonomies and KPIs within medium-to-large organizations.
Strong experience in AWS or Google Cloud data ecosystems.

We Offer

An open, collaborative, dynamic, and diverse culture.
A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for your self-development.
A competitive financial package with equity, leave allowance, and health insurance.
Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub.
Access to free mental health support platforms.
Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health.
The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

Care to change the world - We are passionate about our work and care deeply about its impact to be life-changing.
We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
Challenge, disagree, and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion

Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status.

Senior Analytics Engineer

Job description